English(EN) Robustifying Asynchronous SGD via Soft Throttling

新算法 'Throttle' 增强了异步 SGD 的鲁棒性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-02 04:00

研究人员开发了一种名为 Throttle 的新算法，它是异步 SGD 的拜占庭鲁棒泛化。该方法会指数级地降低来自更快客户端的更新的权重，这一因素即使在非攻击场景下也能提高性能。理论分析和经验验证证明了 Throttle 的收敛速度和对攻击的鲁棒性。 AI

影响引入了一种新颖的算法，可以提高分布式机器学习训练的效率和安全性。

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arXiv cs.LG TIER_1 English(EN) · Kaoru Otsuka, Maxime Meyer, Yuki Takezawa, Makoto Yamada, Anastasia Koloskova · 2026-10-02 04:00

通过软节流增强异步SGD的鲁棒性

arXiv:2609.39357v1 Announce Type: new Abstract: Asynchronous SGD is a popular algorithm for distributed learning where each client's gradient update is applied on arrival. This leads to a speed-up, but also an increased vulnerability to attacks, as fast clients can dominate the t…